System Architect

In the Technology and Production Evolution within the Engineering Services and Experience in BNEW we have fully responsibility of being the design owner of the Engineering Environment for Ericsson Networks, the responsibility includes strategy definition and execution, Architecture Runway (ARW) evolvement, governance of architecture and portfolio including security, Test Strategy definition and Technology supply strategy. We are currently seeking dedicated and results-oriented individuals to join The Technology and production Evolution team as a System Architect. The System Architect will assume a critical role in analyzing, creating, and implementing technically feasible solutions that align with our BNEW’s business needs, Architectural standards and forward leaning directions, mainly Scaling AI and embracing Platform engineering discipline and practices.

Responsibilities

Architect and optimize Golden path initiatives with relation to the overall IDP vision and plan, collaboratively with different PEUs, and adhering to the existing system principles, design rules and security requirements; Lead architectural studies, reviews, provide recommendations, while keeping scalability, and operational efficiency in mind of platform components; Design architectures enabling scalable AI/ML model deployment, monitoring, and lifecycle management (MLOps / LLMOps); Collaborate with data scientists and engineering teams to integrate AI-driven capabilities into products and services within the production environment; Develop data architecture frameworks covering data ingestion, integration, storage, governance, and security; Support the implementation of data lakes, data warehouses, and real-time streaming pipelines; Work closely with colleagues from different PEUs, Portfolio team, Security and operations, to translate business requirements into technical solutions; Monitor technology trends in AI, platform engineering, and data ecosystems; drive innovation and continuous improvement; Lead proof-of-concept initiatives to evaluate new architectures, tools, and methodologies

Requirements

Degree in Engineering or equivalent experience; Must have 10+ year of experience in SW industry preferably in Telecom domain with good customer handling, technical capabilities; Experience with AI/ML pipelines and MLOps practices; Solid understanding of data management frameworks, data modeling, and distributed data systems; Solid understanding of platform engineering practices, IDP, and Golden path designing; Strong expertise in cloud platforms and cloud-native architectures